“I Don’t Code All Day”: Fitting in Computer Science When the Stereotypes Don’t Fit

Stereotypes of computer scientists are relevant to students’ performance and feelings of belonging. While efforts exist to change these stereotypes, we argue that it may be possible to challenge a student’s belief that stereotypes of computer scientists are relevant to whether they can become a computer scientist. In our previous work, we presented a model of five factors that influence students’ decisions to major in computer science (CS). Data were collected from interviews with 31 students enrolled in introductory CS courses at two public universities in the United States. Here we elaborate on our grounded theory of one of these factors: how students assess their fit with CS. We describe how students measure their fit with CS in terms of the amount they see themselves as expressing the traits of singular focus, asocialness, competition, and maleness and how students make interpretations and decisions based upon these measurements. We found that students’ interpretations were influenced by their attitudes toward the nature of stereotypes.

“I Don’t Code All Day”: Fitting in Computer Science When the Stereotypes Don’t Fit

  • Author Lewis, Colleen M.; Anderson, Ruth E.; Yasuhara, Ken
  • Publication Title Proceedings Of The 2016 ACM Conference On International Computing Education Research
  • Publication Year 2016
  • BPC Focus Gender
  • Methodology Qualitative, Multi-institution
  • Analytic Method NA
  • Institution Type NA
  • DOI 10.1145/2960310.2960332
  • URL https://doi.org/10.1145/2960310.2960332